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OpenLoop

Director, AI Technologies

OpenLoop

Director of AI Technologies at OpenLoop, responsible for scaling enterprise AI capabilities in telehealth solutions. Leading strategy, architecture, and governance for AI initiatives.

Posted 5/27/2026full-timeRemote • 🇺🇸 United StatesLeadWebsite

Tech Stack

Tools & technologies
AWS

About the role

Key responsibilities & impact
  • Define and execute the enterprise AI roadmap aligned to business priorities
  • Identify, prioritize, and deliver high-impact AI use cases with measurable ROI
  • Represent AI strategy in executive and cross-functional forums
  • Own the design, deployment, and operation of the enterprise AI platform
  • Establish scalable, secure, and compliant AI infrastructure (LLMs, MLOps, integrations)
  • Define standards for model lifecycle management (deployment, monitoring, incident response)
  • Build and enforce enterprise AI governance, including model risk, compliance, and acceptable use
  • Lead governance reviews and ensure regulatory alignment (e.g., HIPAA)
  • Maintain oversight of AI systems, vendors, and usage across the organization
  • Lead end-to-end delivery of AI solutions across clinical, operational, and corporate functions
  • Drive adoption and integration into business workflows
  • Ensure outcomes are tied to efficiency, cost, or performance improvements
  • Partner across IT, Clinical, HR, Operations, and Data teams
  • Influence stakeholders and align AI initiatives to enterprise priorities
  • Build and scale a multidisciplinary AI team
  • Define roles, structure, and ways of working
  • Manage budget, tooling, and external resources
  • Other duties as assigned

Requirements

What you’ll need
  • 10+ years in technology roles with 4+ years in a leadership or management capacity
  • Demonstrated experience building or scaling enterprise AI/ML platforms in production environments
  • Deep understanding of LLM ecosystems, MLOps practices, vector databases, and AI API architectures
  • Experience owning AI governance, model risk management, or responsible AI frameworks
  • Track record of translating business problems into AI product requirements and delivering solutions
  • Strong executive communication skills — able to present complex AI concepts to non-technical audiences
  • Experience operating in regulated industries (healthcare, financial services, or similar) preferred but not required
  • Experience in healthcare IT, clinical decision support, or HIPAA-regulated environments preferred
  • Familiarity with AWS AI/ML services (SageMaker, Bedrock, Amazon Connect AI capabilities)
  • Experience building teams from the ground up in a new function
  • Background in workforce management, BPO technology, or contact center AI
  • Advanced degree in Computer Science, Data Science, or related field — or equivalent experience

Benefits

Comp & perks
  • Medical, Dental, and Vision plans
  • Flexible Spending/Health Savings Accounts
  • Flexible PTO
  • 401(k) + Company Match
  • Life Insurance, Pet insurance, and more

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
AI roadmapAI use casesAI platform designAI infrastructuremodel lifecycle managementAI governanceMLOpsvector databasesAI API architecturesAI product requirements
Soft Skills
executive communicationstakeholder influenceteam buildingcross-functional collaborationleadershiporganizational skillsproblem-solvingstrategic thinkingpresentation skillsbudget management
Certifications
advanced degree in Computer Scienceadvanced degree in Data Scienceequivalent experience